There isn't anything natively supported for that in the framework, but you can 
do that yourselves by using a shared service (for e.g via HDFS files, ZooKeeper 
nodes) that mappers/reducers all have access to.

More details on your usecase? In any case, once you start making mappers and 
reducers depend on either externally changing state or inter-dependence, you 
may be breaking fundamental assumptions of MapReduce - embarrassingly parallel 
computation (limiting scalability) and/or idempotency (affecting retries during 
failures).

Thanks,
+Vinod

On Jan 2, 2014, at 1:42 AM, sam liu <[email protected]> wrote:

> Hi,
> 
> As I know, the Distributed Cache will copy the shared data to the slaves 
> before starting job, and won't change the shared data after that. 
> 
> So are there any solutions to share dynamic data among mappers/reducers?
> 
> Thanks!


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